Open to opportunities
Rutuja More
Software Engineer
AI/ML Engineer · Agentic Systems · Cloud Infrastructure
I build intelligent systems that stay reliable when the real world gets messy.
About
Engineering systems that scale, secure, and ship
I'm a Software Engineer with a strong foundation in AI/ML, distributed systems, and cloud infrastructure, recently completed an M.S. in Computer Science at George Mason University with a 3.93 GPA, following a B.Tech in Computer Science.
My experience bridges research and production engineering. At Thetavega Tech, I helped reduce infrastructure costs by 15% and CI/CD cycle times by 35% while resolving more than 1,000 production incidents. At GMU, my research has covered EEG-based motor imagery classification, dual-stream transformer architectures, and RAG security pipelines that reduced adversarial attack success rates from 95% to 70%. This work also contributed to published adversarial ML defence research at ICISS 2025.
What drives me most is building technology that is not only technically rigorous, but genuinely useful—whether that means developing agentic AI systems with safety guardrails, designing reliable production infrastructure, or creating tools that make research more reproducible.
AI • Cloud • Systems
FocusAgentic SystemsBuilt for reliability in real-world operations
What I do
PythonPyTorchReactAWSLangGraphFastAPIApache SparkPostgreSQLSystem DesignAdversarial ML
Education
Master's
George Mason University
M.S. Computer Science
Outstanding Academic Award
Bachelor's
Dr. Babasaheb Ambedkar Technological University
Bachelor of Technology – BTech, Computer Science
First Class with Distinction
Experience
Where I've worked
Ongoing research role. Details coming soon.
Supported coursework in Computer System Foundations and Operating System Security with an emphasis on systems-level reasoning and secure design principles.
- Guided students in systems and security concepts
- Reinforced operating system security fundamentals
- Supported technical instruction and structured learning workflows
Security and AI robustness research spanning VPN/Tor/browser security, LLM adversarial evaluation, and reproducible research automation.
- Synthesized 19 studies into a comparative attack-defense framework
- Analyzed 200+ research artifacts
- Generated 18+ comparative metrics and reproducible reports
Advanced into cross-functional delivery ownership, managing technical coordination and operational execution across cloud and project workflows.
- Coordinated technical delivery and execution
- Managed operational and project workflows across teams
- Connected engineering and support functions at scale
Owned cloud operations, deployment reliability, and incident response across production infrastructure, improving efficiency and reducing operational overhead.
- Handled 1,000+ infrastructure and support incidents
- Reduced operational costs by 15%
- Improved DevOps reliability through automation and cloud operations
Started with infrastructure operations and system support responsibilities, building the foundation for deeper cloud operations ownership.
- Infrastructure and support operations
- Operational incident handling in cloud environments
- Support for deployment and reliability workflows
Developed applied machine learning and deep learning solutions across image processing, text analysis, and healthcare prediction workflows.
- Improved deep learning model accuracy by 18% using Keras and TensorFlow
- Applied unsupervised machine learning techniques for text analysis
- Built a predictive heart disease model with 87% accuracy
Projects
Featured Projects
Hospital Commander
Capacity
Staffing
Ambulance
Validation
Human Approval
Adaptive Hospital Command Center
PulseOps
A multi-agent AI command center for hospital operations, combining orchestration, validation, and human-in-the-loop approval for time-sensitive workflows.
DATASPARKMODEL
Distributed trajectory prediction system
Waymo Motion Prediction
Large-scale motion prediction work built on the Waymo Open Motion Dataset using distributed preprocessing and recurrent modeling.
Answer
→
FAISS / RAG
→
Semantic Assessment
AI-powered automated assessment platform
EduGrade
Semantic grading and retrieval-based evaluation platform using transformer models and vector search to support assessment workflows.
Research
Making intelligent systems more trustworthy.
01
AI / Security
LLM Robustness and Adversarial Evaluation
Research at the intersection of model robustness, adversarial testing, and evaluation rigor in AI systems.
Adversarial InputPrompt
Evaluation PipelineTest → Evaluate → Defend
Attack Success95% → 70%
02
Cybersecurity / Privacy
Cybersecurity and AI Privacy Research
Research spanning AI security, privacy implications, and reproducible analysis workflows for large-scale evaluation.
Security SurfacesVPN · TOR · BROWSER
Attack ↔ Defense19 STUDIES
Evidence Analysis200+ ARTIFACTSMITRE ATT&CK
Technical landscape
Engineering across
AI, cloud, and systems.
AI / Machine Learning
Scikit-learnPyTorchTensorFlowDeep LearningLLMsBERTLLaMAHugging FaceComputer VisionOpenCVCNNsNLPNLTKTF-IDFRecommendation SystemsALS
Frameworks & AI Systems
FastAPILangGraphRAGSentence TransformersFAISSDeBERTaRoBERTa
Programming Languages
PythonCC++JavaJavaScriptSQL
Data & Databases
PostgreSQLApache SparkApache KafkaDistributed Data Systems
Cloud & DevOps
AWSGCPEC2S3ECSCloudWatchLambdaGlueSageMakerEMRRoute 53DockerKubernetesTerraformAnsibleJenkinsGitHub ActionsHelm
Systems & Security
LinuxNetworkingTCP/IPVPNIAMAI SecurityAdversarial EvaluationOperating System SecurityLoad Balancers
Software Engineering
ReactGitCI/CDAgile / ScrumSystem DesignAutomation
Certifications
Credentials that shaped how I build.
01
AI Foundations
IBM / ISTE
02
AWS Certified Solutions Architect – Professional
Amazon Web Services (AWS)
03
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
04
AWS Academy Graduate – AWS Academy Cloud Foundations
Amazon Web Services (AWS)
05
Amazon Web Services Cloud Practitioner
Amazon Web Services (AWS)
06
Google Cloud Platform Fundamentals
Coursera
07
Google Cloud Platform Fundamentals: Core Infrastructure
Google Cloud / Coursera
08
AWS Fundamentals: Addressing Security Risk
Amazon Web Services / Coursera